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Reliability of a convolutional neural network in segmenting multiple sclerosis lesions from MRI: Impact of data augmentation, image modality and tolerance with U-Net architecture
Loading metrics Open Access Peer-reviewed Research Article Citation: Szekely-Kohn AC, Castellani M, Baronti L, Ahmed Z, Manifold WGK, Douglas M, et al. (2026) Reliability of a convolutional neural network in segmenting multiple sclerosis lesions from MRI: Impact of data augmentation, image modality and tolerance with U-Net architecture. PLOS Digit Health 5(4): e0001316. https://doi.org/10.1371/journal.pdig.0001316 Editor: Dylan A.
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